platform-data-explorer

platform-data-explorer is a skill for Claude Code, Codex from ClawCap/ManoBrowser. It costs 87 tokens per session (3,470 once invoked), scanned A, original, MIT.

A platform-exploration skill that examines a website or online service to find useful browser actions and data-extraction tasks that could become skills.

In plain words
What is it for?
Use it to inspect a platform, identify its modules and operations, assess how each could be implemented, and produce proposals for skills.
Why use it?
It turns an unfamiliar platform into a proposed list of automations, so you do not have to discover every possible workflow manually.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to inspect a platform, identify its modules and operations, assess how each could be implemented, and produce proposals for skills.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/clawcap/manobrowser/platform-data-explorer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ClawCap/ManoBrowser --skill platform-data-explorer
Clone the repo
git clone --depth 1 https://github.com/ClawCap/ManoBrowser

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for platform-data-explorer

README.md
[![agentmods](https://agentmods.dev/badge/skills/clawcap/manobrowser/platform-data-explorer/github.svg)](https://agentmods.dev/skills/clawcap/manobrowser/platform-data-explorer)
Your own site
<a href="https://agentmods.dev/skills/clawcap/manobrowser/platform-data-explorer"><img src="https://agentmods.dev/badge/skills/clawcap/manobrowser/platform-data-explorer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for platform-data-explorer

Your own site · 80×15
<a href="https://agentmods.dev/skills/clawcap/manobrowser/platform-data-explorer"><img src="https://agentmods.dev/badge/skills/clawcap/manobrowser/platform-data-explorer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,470 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00087 $0.03470
Opus 5.5 $0.00035 $0.01388
Sonnet 5.5 $0.00017 $0.00694
Haiku 4.5 $0.00009 $0.00347

Measured 1mo ago against content hash e82e6c780842, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

platform-data-explorer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

platform-data-explorer/SKILL.md · 363 lines

How it starts

The opening of the file, as written. The whole thing — 363 lines — stays where its author put it; the contents beside it link to each section on GitHub.

平台探索与 Skill 发现

概述

这是一个探索型 Meta-skill:给定任意平台 URL 或功能模块,使用 DataSaver 工具系统性探索该平台,分析出可以做哪些 Skill(操作类 + 取数类),生成 Skill 提案清单供用户选择,用户确认后按类型分流调用对应的创建 skill:

  • API 取数类 → 调用 api-skill-builder(逆向 API → 生成取数 Skill)
  • 浏览器操作类 → 调用 chrome-workflow-build(执行并记录 → 生成操作 Skill)

输入:平台 URL / 模块名称 / 功能描述 输出:Skill 提案清单(含优先级、可行性评估、实现方案)

执行流程

Phase 1: 平台侦察(了解平台全貌)
    ↓
Phase 2: 功能模块发现(逐个模块探索)
    ↓
Phase 3: Skill 可行性评估(每个潜在 Skill 的技术方案)
    ↓
Phase 4: 输出提案清单(供用户确认)
    ↓
Phase 5: 用户确认后,按类型分流创建 Skill

Phase 1: 平台侦察

目标:了解平台整体结构、技术栈、主要功能模块。

Step 1.1: 打开目标页面

工具: chrome_navigate
参数:
  url: {target_url}
  active: true

⚠️ active: true 很重要,某些 SPA 平台(如灵犀)在后台标签页不加载数据。

Step 1.2: 页面结构分析

工具: chrome_get_document

观察并记录:

  • 平台名称和类型(数据平台 / 内容平台 / 电商 / 工具类)
  • 技术栈(React / Vue / Angular / jQuery)
  • 导航结构(侧边栏菜单 / 顶部Tab / 面包屑)
  • 是否需要登录
  • 主要功能入口有哪些

Step 1.3: 导航菜单提取

// 提取平台的导航菜单结构
(() => {
  // 尝试多种常见导航结构
  const navSelectors = [
    'nav a', '.sidebar a', '.menu a', '.nav-item a',
    '[class*="menu"] a', '[class*="nav"] a', '[class*="sidebar"] a',
    '.ant-menu a', '.el-menu a', // Ant Design / Element UI
  ];
  const links = new Set();
  const menuItems = [];

  navSelectors.forEach(sel => {
    document.querySelectorAll(sel).forEach(a => {
      const text = a.textContent.trim();
      const href = a.getAttribute('href') || '';
      const key = text + '|' + href;
      if (text && text.length < 30 && !links.has(key)) {
        links.add(key);
        menuItems.push({ text, href, visible: a.offsetParent !== null });
      }
    });
  });

  return JSON.stringify({
    totalMenuItems: menuItems.length,
    items: menuItems.slice(0, 50)
  }, null, 2);
})()

Step 1.4: API 与资源分析

// 发现平台加载了哪些 API 和资源
(() => {
  const resources = performance.getEntriesByType('resource');
  const apis = resources
    .filter(r => r.initiatorType === 'xmlhttprequest' || r.initiatorType === 'fetch')
    .map(a => {
      const url = new URL(a.name);
      return { path: url.pathname, params: url.search.substring(0, 80) };
    });

  // 去重,按路径分组
  const apiGroups = {};
  apis.forEach(a => {
    const base = a.path.replace(/\/\d+/g, '/{id}'); // 归一化数字ID
    if (!apiGroups[base]) apiGroups[base] = { path: a.path, count: 0 };
    apiGroups[base].count++;
  });

  return JSON.stringify({
    totalAPIs: apis.length,
    uniqueAPIs: Object.keys(apiGroups).length,
    apiList: Object.values(apiGroups).slice(0, 30)
  }, null, 2);
})()

Read the full file on GitHub · 363 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 363 lines · 87 tokens per session scan A e82e6c780842

Subscribe to this mod's changes

platform-data-explorer is a skill published in the GitHub repository ClawCap/ManoBrowser (9 stars, last pushed 6mo ago), licensed MIT. It adds 87 tokens to every session and 3,470 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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